[FIX][OV]GNA]Fix GNA plugin crashes when running conformance tests (#13988)

* [GNA] added dims size validation to avoid segfault in orientation helper
* [GNA] fixed matmul transformation test to not access data from empty container
* [OV] fixed padd Tile to TileIE and added assertion to ngraph to CNN conversion.

src/common/legacy/src/convert_function_to_cnn_network.cpp

@@ -2076,10 +2076,12 @@ void convertFunctionToICNNNetwork(const std::shared_ptr<const ::ngraph::Function
     auto params = graph->get_parameters();
     for ( const auto &param : params ) {
         const std::string input_name = param->get_friendly_name();
-        auto &thisInputData = *thisInputDataMap[input_name];
-        resultInputDataMap[input_name]->setPrecision(thisInputData.getPrecision());
-        resultInputDataMap[input_name]->setLayout(thisInputData.getLayout());
-        resultInputDataMap[input_name]->getPreProcess() = thisInputData.getPreProcess();
+        auto thisInputDataItr = thisInputDataMap.find(input_name);
+        IE_ASSERT(thisInputDataItr != thisInputDataMap.end())
+            << "Internal issue with model handling. Improper input name: " << input_name;
+        resultInputDataMap[input_name]->setPrecision(thisInputDataItr->second->getPrecision());
+        resultInputDataMap[input_name]->setLayout(thisInputDataItr->second->getLayout());
+        resultInputDataMap[input_name]->getPreProcess() = thisInputDataItr->second->getPreProcess();
     }
 }
 

src/common/legacy/src/transformations/convert_opset1_to_legacy/convert_tile_to_ie_tile.cpp

@@ -81,8 +81,11 @@ ngraph::pass::ConvertTileToLegacyMatcher::ConvertTileToLegacyMatcher() {
             ++tiles_it;
         }
 
+        // TODO: If last_node points to input layer, its name will be changed to the tile layer name. There will be
+        // issue with conversion from ngraph::Function to CNNNetwork.
         last_node.get_node_shared_ptr()->set_friendly_name(tile->get_friendly_name());
         ngraph::copy_runtime_info(tile, new_ops);
+
         ngraph::replace_node(tile, {last_node});
         return true;
     };

src/plugins/intel_gna/src/orientation_helper.cpp

@@ -22,6 +22,13 @@ void updateModelInputOrientationWithoutConvolution(const InferenceEngine::CNNLay
         return;
     }
 
+    auto dims = input->dims;
+    if (dims.empty()) {
+        // If input is scalar there is no sense to update orientation.
+        return;
+    }
+    auto rowsNum = dims[0];
+
     auto doesntHaveGnaMapping = [=](InferenceEngine::CNNLayerPtr l) {
         auto dnnLayer = components.findComponent(l);
         return dnnLayer == nullptr;
@@ -33,8 +40,6 @@ void updateModelInputOrientationWithoutConvolution(const InferenceEngine::CNNLay
         return;
     }
 
-    auto dims = input->dims;
-    auto rowsNum = dims[0];
     auto columnProduct = std::accumulate(std::next(std::begin(dims)), std::end(dims), 1, std::multiplies<int>());
 
     // does not make sense to check if further if any of sizes is equal to 1

src/plugins/intel_gna/src/transformations/handle_transposes_around_matmul.cpp

@@ -80,6 +80,20 @@ void InsertTranspose(std::shared_ptr<ngraph::Node> prev_node, const std::string&
 bool VerifyReshape(const ngraph::Output<ngraph::Node>& reshape_out) {
     auto in_shape = reshape_out.get_node_shared_ptr()->get_input_shape(0);
     auto out_shape = reshape_out.get_node_shared_ptr()->get_output_shape(0);
+
+    const auto is_input_scalar = in_shape.empty();
+    const auto is_output_scalar = out_shape.empty();
+
+    if (is_input_scalar && is_output_scalar) {
+        // If both are scalar it means we don't need reshape.
+        return false;
+    }
+
+    if (is_input_scalar || is_output_scalar) {
+        // If one is scalar it means we need reshape.
+        return true;
+    }
+
     return in_shape[0] != out_shape[0];
 }